• DocumentCode
    3575066
  • Title

    Communication Optimal Least Squares Solver

  • Author

    Kumar, Pawan

  • Author_Institution
    Competence Center for High Performance Comput., Fraunhofer Inst. of Ind. Math., Kaiserslautern, Germany
  • fYear
    2014
  • Firstpage
    316
  • Lastpage
    319
  • Abstract
    For matrix with full column rank, QR algorithm is among the best approach to solve wider class of least squares problem (LS). Using the communication optimal variant of TSQR, we study the scalability of the least squares solver with multiple right hand sides. The communication for TSQR based LS solver for multiple right hand sides is still optimal in the sense that no additional messages are necessary compared to TSQR. However, LS has additional communication volume, and flops compared to that for TSQR. The scalability of the proposed method is studied up to few thousand cores using global address space programming framework (GPI) and pthreads.
  • Keywords
    least squares approximations; mathematics computing; matrix algebra; message passing; GPI; LS problem; QR algorithm; communication optimal TSQR; communication optimal least squares solver; communication volume; flops; global address space programming framework; least squares problem; matrix algebra; multiple right hand sides; pthreads; scalability; Binary trees; Libraries; Message systems; Programming; Q-factor; Scalability; Synchronization; Least squares; PGAS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014 IEEE Intl Conf on
  • Print_ISBN
    978-1-4799-6122-1
  • Type

    conf

  • DOI
    10.1109/HPCC.2014.55
  • Filename
    7056759